Ankur Teredesai

96 papers A* 11A 4B 12C 1Misc 4Journal 19Unranked 44

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes. CoRR Jodi Chiam, Aloysius Lim, Cheryl Nott, Nicholas M. Mark, Ankur Teredesai, Sunil Shinde
2024	A*	`conf`	NudgeRank: Digital Algorithmic Nudging for Personalized Health. KDD Jodi Chiam, Aloysius Lim, Ankur Teredesai
2024	J	`jnl`	NudgeRank: Digital Algorithmic Nudging for Personalized Health. CoRR Jodi Chiam, Aloysius Lim, Ankur Teredesai
2024	A*	`conf`	The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. KDD Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2023	J	`jnl`	Blockchain Based Cloud Management Architecture for Maximum Availability. Int. J. Interact. Multim. Artif. Intell. Alberto Arias Maestro, Oscar Sanjuán Martínez, Ankur Teredesai, Vicente García-Díaz
2023	A*	`conf`	From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions. KDD Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2023	J	`jnl`	Multi-Subset Approach to Early Sepsis Prediction. CoRR Kevin Ewig, Xiangwen Lin, Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2023	B	`conf`	NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. IEEE Big Data Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2023	J	`jnl`	NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. CoRR Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu
2023	A	`conf`	Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation. WSDM Ankur Teredesai
2022	B	`conf`	Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. IEEE Big Data Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe
2021	J	`jnl`	Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. CoRR Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021	J	`jnl`	Emergency Department Optimization and Load Prediction in Hospitals. CoRR Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021	—	`conf`	Fairness in Healthcare AI. ICHI Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai
2021	—	`conf`	Interpretable Phenotyping for Electronic Health Records. ICHI Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021	—	`conf`	Machine Learning Approaches for Patient State Prediction in Pediatric ICUs. ICHI Muhammad Aurangzeb Ahmad, Eduardo Trujillo-Rivera, Pollack M. D. Murray, Eckert M. D. Carly, Patel M. D. Anita, Ankur Teredesai
2021	—	`conf`	Machine Learning Approaches for Pressure Injury Prediction. ICHI Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel, Ankur Teredesai
2021	J	`jnl`	Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. CoRR Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021	A*	`conf`	Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. KDD Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert
2020	—	`conf`	Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. AI4SG@AAAI Fall Symposium Ming Yuan, Muhammad Ahmad, Vikas Kumar, Ankur Teredesai
2020	—	`conf`	Emergency Department Optimization and Load Prediction in Hospitals. AI4SG@AAAI Fall Symposium Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2020	A*	`conf`	Fairness in Machine Learning for Healthcare. KDD Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai
2020	—	`conf`	Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
2020	J	`jnl`	Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. CoRR Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2019	J	`jnl`	Benchmarking large-scale data management for Internet of Things. J. Supercomput. Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali
2019	J	`jnl`	Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. Appl. Clin. Inform. Carly Eckert, Neris Nieves-Robbins, Elena Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Ahmad, Richard Barnhill, T. Greg McKelvey, Robert Marshall, Eric A. Shry, Ankur Teredesai
2019	A*	`ed.`	Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. KDD Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
2019	—	`conf`	The Challenge of Imputation in Explainable Artificial Intelligence Models. AISafety@IJCAI Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2019	J	`jnl`	The Challenge of Imputation in Explainable Artificial Intelligence Models. CoRR Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2018	A*	`conf`	Death vs. Data Science: Predicting End of Life. AAAI Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai
2018	—	`conf`	Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali
2018	—	`conf`	Interpretable Machine Learning in Healthcare. BCB Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2018	—	`conf`	Interpretable Machine Learning in Healthcare. ICHI Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
2018	—	`conf`	Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare. IEEE BigData Kyle Fritchman, Keerthanaa Saminathan, Rafael Dowsley, Tyler Hughes, Martine De Cock, Anderson C. A. Nascimento, Ankur Teredesai
2017	—	`conf`	Gender prediction on a real life blog data set using LSI and KNN. CCWC Jianle Chen, Tianqi Xiao, Jie Sheng, Ankur Teredesai
2017	—	`conf`	Kernel based principal axis tree. CCWC Qiaozhi Li, Jie Sheng, Ankur Teredesai
2017	A*	`conf`	Smart Personalized Routing for Smart Cities. ICDE Abdeltawab M. Hendawi, Aqeel Rustum, Amr A. Ahmadain, David Hazel, Ankur Teredesai, Dev Oliver, Mohamed H. Ali, John A. Stankovic
2016	B	`conf`	Dynamic and Personalized Routing in PreGo. MDM Abdeltawab M. Hendawi, Aqeel Rustum, Amr A. Ahmadain, Dev Oliver, David Hazel, Ankur Teredesai, Mohamed H. Ali
2016	—	`conf`	Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Shanu Sushmita, Garima Khulbe, Aftab Hasan, Stacey Newman, Padmashree Ravindra, Senjuti Basu Roy, Martine De Cock, Ankur Teredesai
2016	—	`conf`	Risk Stratification for Hospital Readmission of Heart Failure Patients: A Machine Learning Approach. BCB Chun Pan Hon, Mayana Pereira, Shanu Sushmita, Ankur Teredesai, Martine De Cock
2015	J	`jnl`	'The good old days': An examination of nostalgia in Facebook posts. Int. J. Hum. Comput. Stud. Sergio Davalos, Altaf Merchant, Gregory M. Rose, Brenton Lessley, Ankur Teredesai
2015	—	`conf`	A Map-Matching Aware Framework for Road Network Compression. MDM (1) Abdeltawab M. Hendawi, Amruta Khot, Aqeel Rustum, Anas Basalamah, Ankur Teredesai, Mohamed H. Ali
2015	—	`conf`	COMA: Road Network Compression for Map-Matching. MDM (1) Abdeltawab M. Hendawi, Amruta Khot, Aqeel Rustum, Anas Basalamah, Ankur Teredesai, Mohamed H. Ali
2015	—	`conf`	Distributed fuzzy rough prototype selection for Big Data regression. NAFIPS/WConSC Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
2015	A*	`conf`	Dynamic Hierarchical Classification for Patient Risk-of-Readmission. KDD Senjuti Basu Roy, Ankur Teredesai, Kiyana Zolfaghar, Rui Liu, David Hazel, Stacey Newman, Albert Marinez
2015	B	`conf`	Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock
2015	—	`conf`	Population Cost Prediction on Public Healthcare Datasets. Digital Health Shanu Sushmita, Stacey Newman, James Marquardt, Prabhu Ram, Viren Prasad, Martine De Cock, Ankur Teredesai
2015	—	`conf`	Scalable adaptive label propagation in Grappa. IEEE BigData Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock
2015	A	`conf`	Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation. AAMAS Abdelrahman Elogeel, Andrey Kolobov, Matthew Alden, Ankur Teredesai
2014	A*	`conf`	A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk. ICDM Rui Liu, Kiyana Zolfaghar, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai
2014	—	`conf`	Age and Gender Identification in Social Media. CLEF (Working Notes) James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock
2014	—	`conf`	An Effective Message Forwarding Algorithm for Delay Tolerant Network with Cyclic Probabilistic Influences. MSN Yitao Li, Ling Ding, Jie Sheng, Cong Liu, Ankur Teredesai
2014	C	`conf`	Basic Micro-Aerial Vehicles (MAVs) obstacles avoidance using monocular computer vision. ICARCV Lim-Kwan Kong, Jie Sheng, Ankur Teredesai
2014	Misc	`conf`	Cohort-Based Discretization of Continuous Clinical Features to Discover Readmission Risk Factors for Heart Failure Patients. AMIA Si-Chi Chin, Rui Liu, Ankur Teredesai
2014	—	`conf`	Computing fuzzy rough approximations in large scale information systems. IEEE BigData Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
2014	—	`conf`	Data Visualization in Educational Datasets Using a Rule-Based Inference System. BigData Congress Aniruddha Desai, Muaz Mian, David Hazel, Ankur Teredesai, Gregory Benner
2014	—	`conf`	Divide-n-Discover - Discretization based Data Exploration Framework for Healthcare Analytics. HEALTHINF Si-Chi Chin, Kiyana Zolfaghar, Senjuti Basu Roy, Ankur Teredesai, Paul Amoroso
2014	—	`ch.`	Evaluation of Classification Methods. Data Classification: Algorithms and Applications Nele Verbiest, Karel Vermeulen, Ankur Teredesai
2014	—	`conf`	HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs. ICDM Workshops James Marquardt, Stacey Newman, Deepa Hattarki, Rajagopalan Srinivasan, Shanu Sushmita, Prabhu Ram, Viren Prasad, David Hazel, Archana Ramesh, Martine De Cock, Ankur Teredesai
2014	A*	`conf`	Minimizing makespan and total completion time in MapReduce-like systems. INFOCOM Yuqing Zhu, Yiwei Jiang, Weili Wu, Ling Ding, Ankur Teredesai, Deying Li, Wonjun Lee
2014	—	`conf`	Road network compression techniques in spatiotemporal embedded systems: a survey. IWGS Amruta Khot, Abdeltawab M. Hendawi, Anderson C. A. Nascimento, Raj S. Katti, Ankur Teredesai, Mohamed H. Ali
2014	—	`conf`	Routing service with real world severe weather. SIGSPATIAL/GIS Yiru Li, Sarah George, Craig Apfelbeck, Abdeltawab M. Hendawi, David Hazel, Ankur Teredesai, Mohamed H. Ali
2014	—	`conf`	Visual Tracking via Supervised Similarity Matching. ACCV (5) Ji Zhang, Jie Sheng, Ankur Teredesai
2014	—	`conf`	Work in Progress - In-Memory Analysis for Healthcare Big Data. BigData Congress Muaz Mian, Ankur Teredesai, David Hazel, Sreenivasulu Pokuri, Krishna Uppala
2013	—	`conf`	Audience segment expansion using distributed in-database k-means clustering. AdKDD@KDD Archana Ramesh, Ankur Teredesai, Ashish Bindra, Sreenivasulu Pokuri, Krishna Uppala
2013	—	`conf`	Big data solutions for predicting risk-of-readmission for congestive heart failure patients. IEEE BigData Kiyana Zolfaghar, Naren Meadem, Ankur Teredesai, Senjuti Basu Roy, Si-Chi Chin, Brian Muckian
2013	—	`conf`	ChronoZoom: travel through time for education, exploration, and information technology research. RIIT Robert L. Walter, Sergey Berezin, Ankur Teredesai
2013	J	`jnl`	Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach. CoRR Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal, Naren Meadem, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed
2012	—	`conf`	ACM SIGSPATIAL GIS Cup 2012. SIGSPATIAL/GIS Mohamed H. Ali, John Krumm, Travis Rautman, Ankur Teredesai
2012	—	`conf`	Dietary intake assessment using integrated sensors and software. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems Junqing Shang, Eric P. Pepin, Eric Johnson, David Hazel, Ankur Teredesai, Alan Kristal, Alexander V. Mamishev
2012	—	`conf`	Distributed Big Advertiser Data Mining. ICDM Workshops Ashish Bindra, Srinivasulu Pokuri, Krishna Uppala, Ankur Teredesai
2011	—	`conf`	A pervasive Dietary Data Recording System. PerCom Workshops Junqing Shang, Kishore Sundara-Rajan, Levi Lindsey, Alexander V. Mamishev, Eric Johnson, Ankur Teredesai, Alan Kristal
2011	B	`conf`	An Extensibility Approach for Spatio-temporal Stream Processing Using Microsoft StreamInsight. SSTD Jeremiah Miller, Miles Raymond, Josh Archer, Seid Adem, Leo Hansel, Sushma Konda, Malik Luti, Yao Zhao, Ankur Teredesai, Mohamed H. Ali
2011	J	`jnl`	Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intell. Syst. Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2010	B	`conf`	Born to trade: A genetically evolved keyword bidder for sponsored search. IEEE Congress on Evolutionary Computation Michael Munsey, Jonathan Veilleux, Sindhura Bikkani, Ankur Teredesai, Martine De Cock
2010	—	`conf`	Ranking Approaches for Microblog Search. Web Intelligence Rinkesh Nagmoti, Ankur Teredesai, Martine De Cock
2009	A	`conf`	A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items. ICWSM Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2009	B	`conf`	Maximizing Ridesharing Matches for Dynamic Carpooling. Intelligent Environments David Thaler, Ankur Teredesai
2009	—	`conf`	Multi-dimensional phenomenon-aware stream query processing. GIS Ashish Bindra, Ankur Teredesai, Mohamed H. Ali, Walid G. Aref
2008	J	`jnl`	Key figure impact in trust-enhanced recommender systems. AI Commun. Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2008	Misc	`conf`	Whom should I trust?: the impact of key figures on cold start recommendations. SAC Patricia Victor, Chris Cornelis, Ankur Teredesai, Martine De Cock
2007	J	`jnl`	A Pervasive Computing Curriculum for Engineering and Science Students. IEEE Pervasive Comput. Fei Hu, Ankur Teredesai
2006	B	`conf`	AQUAGP: Approximate QUery Answers Using Genetic Programming. EuroGP Jason B. Peltzer, Ankur Teredesai, Garrett Reinard
2006	J	`jnl`	CoMMA: a framework for integrated multimedia mining using multi-relational associations. Knowl. Inf. Syst. Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodia, Roger S. Gaborski
2006	Misc	`conf`	Modeling Proliferation of Ideas in Online Social Networks. AusDM Muhammad A. Ahmad, Ankur Teredesai
2006	B	`conf`	SoNEA: Sensing Online Novelty Using Event Archives. MASS Ankur Teredesai, Yuanfeng Zhu
2005	—	`conf`	Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited. Wissensmanagement Muhammad A. Ahmad, Ankur Teredesai
2005	J	`jnl`	GP-based secondary classifiers. Pattern Recognit. Ankur Teredesai, Venugopal Govindaraju
2005	B	`conf`	Genetic Programming in Wireless Sensor Networks. EuroGP Derek M. Johnson, Ankur Teredesai, Robert T. Saltarelli
2004	—	`conf`	Detection of inconsistent regions in video streams. Human Vision and Electronic Imaging Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai, Aleksey Tentler
2004	B	`conf`	Issues in evolving GP based classifiers for a pattern recognition task. IEEE Congress on Evolutionary Computation Ankur Teredesai, Venu Govindaraju
2004	Misc	`conf`	VENUS: A System for Novelty Detection in Video Streams with Learning. FLAIRS Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur Teredesai
2002	—	`conf`	On-Line Digit Recognition Using Off-Line Features. ICVGIP Ankur Teredesai, Eugene H. Ratzlaff, Jayashree Subrahmonia, Venu Govindaraju
2001	A	`conf`	Active Digit Classifiers: A Separability Optimization Approach to Emulate Cognition. ICDAR Ankur Teredesai, Venu Govindaraju
2001	B	`conf`	Active Handwritten Character Recognition Using Genetic Programming. EuroGP Ankur Teredesai, Jaehwa Park, Venu Govindaraju
2001	—	`conf`	Secondary classification using key features. Document Recognition and Retrieval Venu Govindaraju, Zhixin Shi, Ankur Teredesai